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Older People's Family Contacts and Long‐term Care Expenditure in OECD Countries: A Comparative Approach Using Qualitative Comparative Analysis

2010· article· en· W1979706530 on OpenAlexaboutno aff
Philip Haynes, Michael Hill, Laura Banks

Bibliographic record

VenueSocial Policy and Administration · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsContext (archaeology)Long-term careGovernment (linguistics)Qualitative comparative analysisDemographic economicsSample (material)Developed countryEconomic growthEconomicsMedicineGeographyEnvironmental healthNursingPopulation

Abstract

fetched live from OpenAlex

Abstract In recent decades there has been a suggestion that public and private long‐term care (LTC) expenditure might be replacing traditional family care for older people. The decline of family contact is known to be more advanced in some OECD countries than others, with southern Europe identified as where family contact is still strong. This article explores at a country level whether there is an association between levels of expenditure on long‐term care and the availability of family contacts. Qualitative Comparative Analysis is used as a comparative method, so as to use national quantitative indicators with a small sample of countries. An association between higher levels of family contact and lower levels of expenditure on LTC is suggested, but it is weakened by a number of untypical cases. Countries that defy this relationship have government care policies that seek to promote informal social care through the family contact that continues to be available. Austria, Canada, Great Britain and Japan are discussed in this context.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.014
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.462
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2010
Admission routes1
Has abstractyes

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